The proposed framework has been evaluated on the whole SIXray dataset [1]} (containing 1,050,302 negative scans and 8,929 positive scans) and also on each of its subsets [1]}. In Table REF , we can observe that the proposed framework achieves an overall performance gain of 0.190% and 0.980% over CST [3]} and TST [4]} framework, respectively.
In Table REF , we report the results obtained with each subset of the SIXray dataset [1]}, reflecting different imbalanced normal and prohibited item categories. The results further confirm the superiority of the proposed framework against other state-of-the-art solutions, especially w.r.t the CHR [1]}, and [7]}. In addition to this, in an extremely challenging SIXray1000 subset, we notice that the proposed framework leads the second-best TST framework [4]} by 3.22%, and CHR [1]} by 44.36%.
